Towards a Standard for a Reliable Execution Environment for Security Protocols

2016 ◽  
Vol 2 (1) ◽  
pp. 78
Author(s):  
Mahalingam Ramkumar
Keyword(s):  
Information Systems ◽  
Full Advantage ◽  
Real World ◽  
Security Protocols ◽  
Low Complexity ◽  
High Integrity ◽  
Execution Environment ◽  
World Information ◽  
Digital Assets ◽  
Attack Models

Approaches for securing digital assets of information systems can be classified as active approaches based on attack models, and passive approaches based on system-models. Passive approaches are inherently superior to active ones. However, taking full advantage of passive approaches calls for a rigorous standard for a low-complexity-high-integrity execution environment for security protocols. We sketch broad outlines of mirror network (MN) modules, as a candidate for such a standard. Their utility in assuring real-world information systems is illustrated with examples.

Tailorable E-Government Information Systems

2011 ◽  
pp. 1064-1069 ◽  
Author(s):  
George Lepouras ◽  
Anya Soriropoulou ◽  
Dimitrios Theotokis ◽  
Costas Vassilakis
Keyword(s):  
Information Systems ◽  
Real World ◽  
Software Reuse ◽  
Government Information ◽  
Multiple Sources ◽  
Public Authorities ◽  
Implementation Phase ◽  
Role Based ◽  
World Information ◽  
Data Elements

Real-world information, knowledge, and procedures after which information systems are modeled are generally of dynamic nature and subject to changes, due to the emergence of new requirements or revisions to initial specifications. E-government information systems (eGIS) present a higher degree of volatility in their environment, since requirement changes may stem from multiple sources, including legislation changes, organizational reforms, end-user needs, interoperability, and distribution concerns, etc. (Jansen, 2004; Prisma Project, 2002; Scholl, Klischewski, & Moon, 2005. To this end, the design and implementation of eGIS must adhere to paradigms and practices that facilitate the accommodation of changes to the eGIS as they occur in the real world. Object-oriented technologies have been extensively used to encapsulate reusable, tailorable software architectures as a collection of collaborating, extensible object classes; however the inherent conflict between software reuse and tailorability has inhibited the development of frameworks and models that would effectively support all requirements exposed by eGIS (Demeyer, Meijler, Nierstrasz, & Steyaert, 1997). The lack of such frameworks has lead to eGIS that cannot easily be adapted to the new requirements, mainly because only the predetermined specifications are taken into account and design decisions are fixed during the implementation phase (Stamoulis, Theotokis, Martakos, & Gyftodimos, 2003). A key issue to a viable solution eGIS modeling is the provision of the ability to multiple public authorities (PAs) to represent different aspects of the same real-world entity, while maintaining at the same time information consistency. Aspect representation is not only limited to data elements that describe the particular entity, but may extend to behavior alterations, when the entity is examined in different contexts. For example, an entity representing the citizen is expected to assume the behavior of beneficiary, when used in the context of the Ministry of Social Security, and the behavior of taxpayer, when accessed from the Ministry of Finance’s eGIS. Distinct behaviors may rely on different data representations and/or respond differently in requests. In this work we present a role-based modeling and implementation framework, which can be used for building eGIS and we argue that this model promotes the tailorability and maintainability of eGIS.

scholarly journals Threads and or-parallelism unified

2010 ◽  
Vol 10 (4-6) ◽  
pp. 417-432 ◽  
Author(s):  
VíTOR SANTOS COSTA ◽  
INÊS DUTRA ◽  
RICARDO ROCHA
Keyword(s):  
Full Advantage ◽  
Data Structures ◽  
Real World ◽  
State Of The Art ◽  
Low Cost ◽  
Good Alternative ◽  
Parallel Execution ◽  
New Approach ◽  
Real World Applications ◽  
Execution Environment

AbstractOne of the main advantages of Logic Programming (LP) is that it provides an excellent framework for the parallel execution of programs. In this work we investigate novel techniques to efficiently exploit parallelism from real-world applications in low cost multi-core architectures. To achieve these goals, we revive and redesign the YapOr system to exploit or-parallelism based on a multi-threaded implementation. Our new approach takes full advantage of the state-of-the-art fast and optimized YAP Prolog engine and shares the underlying execution environment, scheduler and most of the data structures used to support YapOr's model. Initial experiments with our new approach consistently achieve almost linear speedups for most of the applications, proving itself as a good alternative for exploiting implicit parallelism in the currently available low cost multi-core architectures.

NEURAL NETWORK METHOD OF ADAPTING THE PARAMETERS OF THE INFORMATION SYSTEMS INTERFACE

2020 ◽  
pp. 26-31
Author(s):  
А.Д. Обухов ◽  
М.Н. Краснянский ◽  
М.С. Николюкин
Keyword(s):  
Neural Networks ◽  
Information System ◽  
Information Systems ◽  
Statistical Processing ◽  
Low Complexity ◽  
User Preferences ◽  
Expert Assessment ◽  
Practical Implementation ◽  
Algorithmic Support ◽  
Interface Parameters

Рассматривается проблема выбора оптимальных параметров интерфейса в информационных системах с целью его персонализации под предпочтения пользователя и возможности его оборудования. В настоящее время для ее решения используется алгоритмическое обеспечение и статистическая обработка предпочтений пользователей, что не обеспечивает достаточной гибкости и точности. Поэтому в данной работе предлагается применение разработанного метода адаптации параметров интерфейса, основанного на анализе и обработке пользовательской информации с помощью нейронных сетей. Научная новизна метода заключается в автоматизации сбора, анализа данных и настройки интерфейса за счет использования и интеграции нейронных сетей в информационную систему. Рассмотрена практическая реализация предлагаемого метода на Python. Экспертная оценка адаптивности интерфейса тестовой информационной системы после внедрения разработанного метода показала его перспективность и эффективность. Разработанный метод показывает лучшую точность и низкую сложность программной реализации относительно классического алгоритмического подхода. Полученные результаты могут использоваться для автоматизации процесса выбора компонентов интерфейса различных информационных систем. Дальнейшие исследования заключаются в развитии и интеграции разработанного метода в рамках фреймворка адаптации информационных систем Here we consider the problem of choosing the optimal parameters of the interface in information systems with the aim of personalizing it for the preferences of the user and the capabilities of his equipment. Currently, algorithmic support and statistical processing of user preferences are used to solve it, which does not provide sufficient flexibility and accuracy. Therefore, in this work, we propose the application of the developed method for adapting interface parameters based on the analysis and processing of user information using neural networks. The scientific novelty of the method is to automate the collection, analysis of data and interface settings through the use and integration of neural networks in the information system. We consider the practical implementation of the proposed method in Python. An expert assessment of the adaptability of the interface of the test information system after the implementation of the developed method showed its availability and efficiency. The developed method shows the best accuracy and low complexity of software implementation relative to the classical algorithmic approach. The results obtained can be used to automate the selection of interface components for various information systems. Further research consists in the development and integration of the developed method within the framework of the information systems adaptation framework

scholarly journals Curriculum Learning for Natural Answer Generation

2018 ◽  
Author(s):  
Cao Liu ◽  
Shizhu He ◽  
Kang Liu ◽  
Jun Zhao
Keyword(s):  
Full Advantage ◽  
Real World ◽  
Large Scale ◽  
Question Answering ◽  
Generative Models ◽  
The Internet ◽  
Basic Model ◽  
The Arts ◽  
Learning Data

By reason of being able to obtain natural language responses, natural answers are more favored in real-world Question Answering (QA) systems. Generative models learn to automatically generate natural answers from large-scale question answer pairs (QA-pairs). However, they are suffering from the uncontrollable and uneven quality of QA-pairs crawled from the Internet. To address this problem, we propose a curriculum learning based framework for natural answer generation (CL-NAG), which is able to take full advantage of the valuable learning data from a noisy and uneven-quality corpus. Specifically, we employ two practical measures to automatically measure the quality (complexity) of QA-pairs. Based on the measurements, CL-NAG firstly utilizes simple and low-quality QA-pairs to learn a basic model, and then gradually learns to produce better answers with richer contents and more complete syntaxes based on more complex and higher-quality QA-pairs. In this way, all valuable information in the noisy and uneven-quality corpus could be fully exploited. Experiments demonstrate that CL-NAG outperforms the state-of-the-arts, which increases 6.8% and 8.7% in the accuracy for simple and complex questions, respectively.

scholarly journals A development platform and execution environment for mobile applications

2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Guillermo Licea Sandoval
Keyword(s):  
Information Systems ◽  
Mobile Applications ◽  
Handheld Computers ◽  
Computer Applications ◽  
Handheld Computer ◽  
Development Platform ◽  
Mobile Information ◽  
Mobile Information Systems ◽  
Execution Environment ◽  
Conventional Computer

Small computing devices are everywhere changing the way people communicate and interact, however applications for these devices are developed more or less with the same tools used for conventional computer applications. Developers of handheld computer applications can find few options for development. In this paper we present MADEE a development and execution environment for mobile information systems running on handheld computers. This environment allows the implementation of mobile information systems faster and easier than using conventional developing tools, including support for conventional computer applications.

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